Pay
In line with similar jobs
$170K–$254K against $154K–$226K, the middle half of what similar US postings state.
From 3,007 postings in the last year. Stated ranges, not salaries paid.
Wilmington, DE, US; New York, NY, US
Live, first seen by us 87 days ago## Primary Location Full Time Salary Range: $169,600.00 - $254,400.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.Read the full posting
## Time Type: Full time \------------------------------------------------------
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Build audience segments such as category, conquesting, loyalty and lifecycle
Develop targeting solutions and AI/ML models to drive customer engagement
Translate advertiser needs into audience requirements and segmentation
Build and integrate Gen AI capabilities to speed audience development
Partner with Finance and Product to forecast revenue and track actuals against forecast
core use cases such as category, conquesting, loyalty, and lifecycle audiences
Develop targeting solutions and AI/ML models to drive customer engagement
Ability to translate advertiser needs into audience requirements & segmentation needs
Build and integrate Gen AI capabilities to accelerate audience development and insights generation
Partner with Finance and Product teams to forecast business growth and revenue on a granular basis and track actuals versus forecast
* Minimum Experience: 10+ years of progressive experience in data analytics, business intelligence, or quantitative analysis within the financial services, digital media, marketing or retail industry. * Commerce Media Domain Expertise: Deep understanding of the commerce or retail media landscape, including audience capabilities, revenue streams, data strategy and commercialization strategy. * Digital Media and Marketing Expertise: Deep understanding of digital media and marketing ecosystem, including various marketing channels, media buy models, audience activation platforms (e.g., CDPs, clean room, DSP integrations). Knowledge of key digital marketing KPIs (ROAS, Impressions, CTR, CPA etc.) * Advanced Analytics Skills: Proficiency in statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing). Experience building audience segments using 1P data, behavioral signals, and transaction data * Strategic Thinking: Ability to connect analytical insights with business strategy, identifying opportunities and risks. * Communication Skills: Exceptional verbal and written communication skills, with the ability to articulate complex analytical concepts and present findings clearly and persuasively to both technical and non-technical audiences. Ability to translate advertiser needs into audience requirements & segmentation needs * Leadership & Influence: Proven ability to lead projects, influence cross-functional teams, and drive strategic initiatives. * Problem-Solving: Strong critical thinking and problem-solving abilities, with meticulous attention to detail. * Technical Proficiency: * Data Platforms: * Experience with large-scale data platforms and tools (e.g., Snowflake). * Experience working with first-party data and privacy-safe data environments (e.g., clean rooms, identity resolution) * Familiarity with audience activation platforms (e.g., CDPs, clean room, DSP integrations) * AI/ML skills: Hands-on experience on building AI/ML targeting solutions like regression and tree-based algorithms * Visualization Tools: Hands-on experience with business intelligence and data visualization tools (e.g., Tableau, Power BI, QlikView). * Preferred Skills:
Education: * Required: Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline. * Preferred: Master's degree or PhD in a quantitative field, Business Analytics, or an MBA with a strong analytical focus. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$170K–$254K against $154K–$226K, the middle half of what similar US postings state.
From 3,007 postings in the last year. Stated ranges, not salaries paid.
Day 87
Up longer than most. Similar jobs usually come down between day 7 and day 55.
Well past Citi’s usual: its jobs come down by about day 16.
From 8,398 similar postings that came down, and 1,282 of Citi’s. Coming down is not always a hire.
157 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
* Minimum Experience: 10+ years of progressive experience in data analytics, business intelligence, or quantitative analysis within the financial services, digital media, marketing or retail industry. * Commerce Media Domain Expertise: Deep understanding of the commerce or retail media landscape, including audience capabilities, revenue streams, data strategy and commercialization strategy. * Digital Media and Marketing Expertise: Deep understanding of digital media and marketing ecosystem, including various marketing channels, media buy models, audience activation platforms (e.g., CDPs, clean room, DSP integrations). Knowledge of key digital marketing KPIs (ROAS, Impressions, CTR, CPA etc.) * Advanced Analytics Skills: Proficiency in statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing). Experience building audience segments using 1P data, behavioral signals, and transaction data * Strategic Thinking: Ability to connect analytical insights with business strategy, identifying opportunities and risks. * Communication Skills: Exceptional verbal and written communication skills, with the ability to articulate complex analytical concepts and present findings clearly and persuasively to both technical and non-technical audiences. Ability to translate advertiser needs into audience requirements & segmentation needs * Leadership & Influence: Proven ability to lead projects, influence cross-functional teams, and drive strategic initiatives. * Problem-Solving: Strong critical thinking and problem-solving abilities, with meticulous attention to detail. * Technical Proficiency: * Data Platforms: * Experience with large-scale data platforms and tools (e.g., Snowflake). * Experience working with first-party data and privacy-safe data environments (e.g., clean rooms, identity resolution) * Familiarity with audience activation platforms (e.g., CDPs, clean room, DSP integrations) * AI/ML skills: Hands-on experience on building AI/ML targeting solutions like regression and tree-based algorithms * Visualization Tools: Hands-on experience with business intelligence and data visualization tools (e.g., Tableau, Power BI, QlikView). * Preferred Skills: * Experience with programming: proficiency in SQL, Python, or R for data manipulation, statistical analysis, and model development. * Experience with consumer banking products and customer lifecycle analytics. Education:
Qualifications: * Minimum Experience: 10+ years of progressive experience in data analytics, business intelligence, or quantitative analysis within the financial services, digital media, marketing or retail industry. * Commerce Media Domain Expertise: Deep understanding of the commerce or retail media landscape, including audience capabilities, revenue streams, data strategy and commercialization strategy. * Digital Media and Marketing Expertise: Deep understanding of digital media and marketing ecosystem, including various marketing channels, media buy models, audience activation platforms (e.g., CDPs, clean room, DSP integrations). Knowledge of key digital marketing KPIs (ROAS, Impressions, CTR, CPA etc.) * Advanced Analytics Skills: Proficiency in statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing). Experience building audience segments using 1P data, behavioral signals, and transaction data * Strategic Thinking: Ability to connect analytical insights with business strategy, identifying opportunities and risks. * Communication Skills: Exceptional verbal and written communication skills, with the ability to articulate complex analytical concepts and present findings clearly and persuasively to both technical and non-technical audiences. Ability to translate advertiser needs into audience requirements & segmentation needs * Leadership & Influence: Proven ability to lead projects, influence cross-functional teams, and drive strategic initiatives. * Problem-Solving: Strong critical thinking and problem-solving abilities, with meticulous attention to detail. * Technical Proficiency: * Data Platforms: * Experience with large-scale data platforms and tools (e.g., Snowflake). * Experience working with first-party data and privacy-safe data environments (e.g., clean rooms, identity resolution) * Familiarity with audience activation platforms (e.g., CDPs, clean room, DSP integrations) * AI/ML skills: Hands-on experience on building AI/ML targeting solutions like regression and tree-based algorithms * Visualization Tools: Hands-on experience with business intelligence and data visualization tools (e.g., Tableau, Power BI, QlikView). * Preferred Skills: * Experience with programming: proficiency in SQL, Python, or R for data manipulation, statistical analysis, and model development. * Experience with consumer banking products and customer lifecycle analytics.
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
## Primary Location Full Time Salary Range: $169,600.00 - $254,400.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Wilmington, DE, US; New York, NY, US
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.